Results 141 to 150 of about 5,076 (254)

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

open access: yesAdvanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Whole-to-parts causation mechanism. [PDF]

open access: yesFront Psychol
Ohmura Y, Kuniyoshi Y.
europepmc   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park   +4 more
wiley   +1 more source

Radiation Resilient Synthetic Antiferromagnets‐Based Neuromorphic Device for Sea Surface Temperature Reconstruction

open access: yesAdvanced Science, EarlyView.
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song   +5 more
wiley   +1 more source

State Migration in Styx: Towards Serverless Transactional Functions. [PDF]

open access: yesVLDB J
Psarakis K   +4 more
europepmc   +1 more source

Néel‐Vector‐Dependent Unconventional Spin‐Orbit Torque for Deterministic Field‐Free Switching in NiO (110)‐Based Trilayers

open access: yesAdvanced Science, EarlyView.
Unconventional spin currents are generated in an antiferromagnetic NiO(110)/Ta/CoFeB trilayer, where the Néel vector governs spin transport. The resulting spin–orbit torques enable deterministic field‐free switching of perpendicular magnetization.
Hyeong‐Joo Seo   +12 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

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